Abstract A model-data inversion is applied to an extensive observational dataset collected in the Southern Ocean north of the Ross Sea during late autumn to early winter, producing estimates of the frequency-dependent rate of dissipation by sea ice. The modeling platform is WAVEWATCH III® which accounts for non-stationarity, advection, wave generation, and other relevant processes. The resulting 9477 dissipation profiles are co-located with other variables such as ice thickness to quantify correlations which might be exploited in later studies to improve predictions. An average of dissipation profiles from cases of thinner ice near the ice edge is fitted to a simple binomial. The binomial shows remarkable qualitative similarity to prior observation-based estimates of dissipation, and the power dependence is consistent with at least three theoretical models, one of which assumes that dissipation is dominated by turbulence generated by shear at the ice-water interface. Estimated dissipation is lower closer to the ice edge, where ice is thinner, and waveheight is larger. The quantified correlation with ice thickness may be exploited to develop new parametric predictions of dissipation.

中文翻译：

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使用模型/数据反演估算南极海冰中的光谱波衰减

摘要 将模型数据反演应用于在深秋至初冬期间在罗斯海以北的南大洋收集的广泛观测数据集，估计海冰耗散的频率相关率。建模平台是 WAVEWATCH III®，它考虑了非平稳性、平流、波浪生成和其他相关过程。由此产生的 9477 个耗散剖面与其他变量（如冰厚度）位于同一位置，以量化相关性，这些相关性可能会在以后的研究中被利用以改进预测。冰边缘附近较薄冰的情况下的平均耗散剖面拟合为简单的二项式。二项式与先前基于观察的耗散估计显示出显着的定性相似性，并且功率依赖性与至少三个理论模型一致，其中一个假设耗散由冰水界面剪切产生的湍流主导。靠近冰​​边缘的估计耗散较低，那里的冰更薄，波高更大。可以利用与冰厚度的量化相关性来开发新的耗散参数预测。